Top Analytics Jobs in Madison, WI

Support client-facing performance measurement and reporting: calculate and validate outcomes, maintain dashboards and metrics, automate repeatable workflows, improve metric governance, and translate results into clear insights for internal and external stakeholders.

Lead centralization of performance data, define KPI standards, build scalable data infrastructure and executive dashboards (Looker), deliver cross-functional performance insights, forecasting, and predictive models to drive margin, LTV, and capital allocation decisions.

Lead design and reporting of end-to-end labeling KPIs and dashboards, ensure data integrity and governance, support compliance forums, audits, and digital enablement, and provide analytic insights to drive process improvements and CAPAs while offering cross-trained operational backup.

The Director Analyst will oversee the procure to pay lifecycle, master data management, and procurement data analytics, ensuring integrity and optimizing operations.

Lead analytical work-streams for the AP Program, assess new opportunities, and develop strategic recommendations based on market and product research to expand educational access.

Lead end-to-end web and mobile analytics: design and implement tagging strategies, ensure data quality, build data pipelines and dashboards, analyze user behavior, and provide actionable insights to Product, Marketing, and Engineering stakeholders.

Lead a team of data analysts, ensuring accurate reporting, data integration, and analytics presentations while collaborating with agency partners.

The Manager, Growth Analytics & Marketing Science will build and evolve marketing measurement frameworks, drive analytics, and optimize marketing strategies through data and AI.

Lead the design and implementation of algorithmic trading strategies, oversee technical infrastructures, and mentor a multidisciplinary team while managing performance analysis and risk.

Lead the development of scalable analytics solutions for content distribution, create metrics and dashboards, and collaborate with cross-functional partners.

The Analytics Manager analyzes complex datasets, builds models, conducts scenario analyses, and provides strategic recommendations to guide decision-making for leadership.

As a Senior Analytics Engineer, you'll build data pipelines and dashboards, partner with stakeholders for KPI development, and ensure data quality across the company.

The Staff Analytics Engineer is responsible for defining, modeling, and governing the enterprise data layer, ensuring accurate and auditable reporting across the organization. Key tasks include managing data contracts, enforcing data quality standards, and collaborating with multiple teams to maintain a consistent data model.

The Capital Analytics Lead will analyze capital, margin, liquidity, and counterparty risk, support regulatory engagement, and produce insights for senior leadership.

This role involves designing measurement strategies, analyzing campaign effectiveness, and collaborating with stakeholders to optimize marketing efforts for customer acquisition.

Lead GTM productivity analytics: build and maintain predictive capacity models and dashboards, analyze GTM performance and attainment, support planning and forecasting, align metrics across Ops/Finance, and partner on data infrastructure improvements to drive GTM efficiency and growth.

The Manufacturing Analytics Engineer will manage the analytics pipeline, transforming operational data from OT systems into actionable insights for decision-making, while collaborating with Engineering, IT, and Operations.

Design, build, and maintain the analytics layer and data models using Data Vault methodology. Develop ETL pipelines, optimize data warehouse performance and cost, collaborate with stakeholders, and support BI and data science consumption (DBT, Snowflake, Tableau/Power BI).

As a Technical Consultant in Data & Analytics, you'll lead process improvements and technical delivery, guiding clients in optimizing Salesforce solutions and data governance.

The role involves developing reports and insights for B2B analytics, managing data architecture, and collaborating across teams to enhance health engagement and outcomes.

The Analytics Engineer will build data models and pipelines, ensure data quality, and enable self-service analytics across the organization.

Lead the Core Analytics team, manage data engineering standards, design analytics architectures, and mentor team members while ensuring data integrity and analytics effectiveness.

The Director of Analytics leads a team to generate insights using healthcare data, supports product development, and engages with clients, leveraging advanced analytics to inform decision-making.

Lead pricing operations for a PBM team: perform client impact and regulatory analyses, write SQL and Python to extract and automate pricing workflows, design/maintain databases, build custom analytical reports, drive automation and data quality, and collaborate with stakeholders to translate business needs into scalable technical solutions.

As a Staff, Advanced Analytics, New Business, you'll analyze data for new business extensions, collaborate with teams, define metrics, and conduct A/B tests to drive strategic decisions.